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The research on financial satisfaction has risen substantially in recent years due to its importance in personal financial planning and individuals’ subjective well-being. Hence, this study aims to map the existing literature on financial satisfaction to present the current state of knowledge and identify substantial gaps.

The present review uses 109 articles published between 1985 and March 2024 and retrieved from the Scopus database. The study deploys a systematic literature review (SLR), bibliometric analysis and content analysis to attain the objectives. Through bibliometric analysis, the present study highlights the most influential authors, journals, countries and affiliations, augmenting the literature on financial satisfaction. Moreover, the study presents the detailed antecedents and consequences of financial satisfaction through content analysis.

The study outlines that most studies in the financial satisfaction area revolve around its antecedents and consequences. The review details multiple antecedents affecting financial satisfaction, such as socioeconomic, psychological, social, personality, religious, financial literacy, financial behavior and technological factors. The prominent consequences of financial satisfaction include subjective well-being, life satisfaction, happiness, emotional and financial well-being, relationship quality, work engagement and sustainable growth.

The present research is an inaugural SLR that comprehensively maps the existing intellectual structure on financial satisfaction. In addition, it offers future research directions for further developments on the subject.

In the present era, artificial intelligence (AI) is transforming and redefining the lifestyles of society through its applications, such as chatbots. Chatbot has shown tremendous growth and has been used in almost every field. The purpose of this study is to identify and prioritize the factors that influence millennial’s technology acceptance of chatbots.

For the present research, data were collected from 432 respondents (millennials) from Punjab. A fuzzy analytical hierarchy process was used to prioritize the factors influencing millennials’ technology acceptance of chatbots. The key factors considered for the study were information, entertainment, media appeal, social presence and perceived privacy risk

The findings of the study revealed media appeal as the top-ranked prioritized factor influencing millennial technology acceptance of chatbots. In contrast, perceived privacy risk appeared as the least important factor. Ranking of the global weights reveals that I3 and I2 are the two most important sub-criteria.

Data were gathered from the millennial population of Punjab, and only a few factors that influence the technology acceptance of chatbots were considered for analysis which has been considered as a limitation of this study.

The findings of this study will provide valuable insights about consumer behaviour to the business firm, and it will help them to make competitive strategies accordingly.

Existing literature has investigated the factors influencing millennials’ technology acceptance of chatbots. At the same time, this study has used the multi-criteria decision-making technique to deliver valuable insights for marketers, practitioners and academicians about the drivers of millennials’ technology acceptance regarding chatbots which will add value to the prevailing knowledge base.